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OverviewThis book provides students and research workers in the biological, medical and social sciences with the statistical background needed to collect and analyse data in an intelligent and critical manner. Key examples and case studies are used to illustrate commonly encountered research problems and to explain how they may be solved or even avoided altogether. Professor Manly also presents a clear understanding of the opportunities and limitations of different research designs, as well as an introduction to some new methods of analysis that are proving increasingly popular. Topics covered include the differences between observational and experimental studies; the design of sample surveys; multiple regression and its generalizations to log-linear and logistic models; experimental and quasi-experimental designs; interrupted time series; computer intensive methods of statistical inference; and the ethical considerations of research. In the final chapter, there is a useful discussion of how the various components of a research study (including deciding on the objectives, planning, designing, and the collection and analysis of data) come together. This practical and well-structured book will be essential reading for graduate students and researchers in a wide range of disciplines, including biology, anthropology, medicine and the social sciences. Full Product DetailsAuthor: Bryan F. J. Manly (University of Otago, New Zealand)Publisher: Cambridge University Press Imprint: Cambridge University Press (Virtual Publishing) ISBN: 9780511608384ISBN 10: 0511608381 Publication Date: 05 February 2015 Audience: Professional and scholarly , Professional & Vocational Format: Undefined Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of Contents1. Preview; 2. The sample survey; 3. Other sampling designs; 4. The linear regression model; 5. Experimental designs to assess the effect of a treatment; 6. Interrupted time series; 7. More advanced experimental designs; 8. Some special types of data; 9. Computer intensive statistics; 10. Ethical considerations; 11. Synthesis: carrying out a research study; References; Index.Reviews' ... of lasting appeal to graduate students and others who need clear guidance on the planning of experiments and their statistical interpretation.' B. Dixon, Biologist ' ... a stimulating book.' Biometrics ' ... of lasting appeal to graduate students and others who need clear guidance on the planning of experiments and their statistical interpretation.' B. Dixon, Biologist ' ... a stimulating book.' Biometrics ...an excellent text. The discussions of complex statistical procedures are comprehensible and include clear descriptions of the goals and assumptions of each technique. This book will be a useful addition to the library of anyone who relies on quantitative techniques. Lawrence P. Greksa, Human Biology Author InformationTab Content 6Author Website:Countries AvailableAll regions |